Bayesian estimation of item response curves

DOI10.1007/BF02293983zbMath0601.62047OpenAlexW2019089933MaRDI QIDQ1081240

Hsin Ying Lin, Robert K. Tsutakawa

Publication date: 1986

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02293983

zbMATH Keywords

EM algorithmBayesian estimationbinary responsesposterior modeItem response curvesrestricted bivariate beta priorstwo- parameter logistic model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

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Bayesian estimation of multidimensional item response theory model using gibbs sampling ⋮ An investigation of hierarchical Bayes procedures in item response theory ⋮ High performance Gibbs sampling for IRT models using row-wise decomposition ⋮ Asymptotic cumulants of ability estimators using fallible item parameters ⋮ Goodness of fit for the logistic regression model using relative belief ⋮ A Gibbs sampler for the multidimensional item response model ⋮ A nondegenerate penalized likelihood estimator for variance parameters in multilevel models ⋮ A GPU-based Gibbs sampler for a unidimensional IRT model ⋮ Repeated responses in misclassification binary regression: A Bayesian approach ⋮ Asymptotic properties of the Bayes modal estimators of item parameters in item response theory ⋮ Prediction-based regularization using data augmented regression ⋮ Noninformative priors for one-parameter item response models ⋮ Prior Elicitation: Interactive Spreadsheet Graphics With Sliders Can Be Fun, and Informative

Uses Software

• BILOG
• LOGIST

Cites Work

• Parameter estimation in latent trait models
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• On posterior joint and marginal modes
• ESTIMATING MULTIPLE REGRESSIONS IN m GROUPS: A CROSS‐VALIDATION STUDY
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